# Intro Profile Review Parser Spider (`getdataforme/intro-profile-review-parser-spider`) Actor Intro Parser Spider automates scraping detailed profiles and reviews from Intro.co, extracting expert backgrounds, social links, pricing, and user feedback.... - **URL**: https://apify.com/getdataforme/intro-profile-review-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Lead generation - **Stats:** 4 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Intro Parser Spider ### Introduction The Intro Parser Spider is a powerful Apify Actor designed to scrape and extract detailed profile information and reviews from Intro.co, a platform connecting users with experts for paid consultations. This tool automates the collection of comprehensive data on individuals, including their professional backgrounds, social media links, session pricing, and user reviews, enabling efficient data gathering for research, analysis, and business intelligence purposes. By leveraging web scraping technology, it delivers structured, reliable data to help users make informed decisions or conduct in-depth studies. ### Features - **Comprehensive Profile Extraction**: Retrieves full user details such as names, titles, descriptions, and social media handles from Intro.co profiles. - **Review Data Collection**: Gathers user reviews, ratings, and timestamps for each profile, providing insights into expert feedback. - **High Reliability**: Built with robust error handling to ensure consistent data extraction even from dynamic web pages. - **Scalable Performance**: Supports batch processing of multiple usernames, optimized for speed and efficiency. - **Structured Output**: Delivers data in clean JSON format, ready for integration into databases or analysis tools. - **Customizable Inputs**: Allows flexible configuration of usernames for targeted scraping. - **Privacy-Compliant**: Focuses on publicly available data, adhering to ethical scraping practices. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Usernames | array | No | A list of usernames from Intro.co to scrape profile data and reviews for. | ["AlexisOhanian", "anotheruser"] | ### Example Usage To run the Intro Parser Spider, provide the input in JSON format: ```json { "Usernames": ["AlexisOhanian"] } ```` Example output for the username "AlexisOhanian": ```json [ { "Id": 177804, "FirstName": "Alexis", "LastName": "Ohanian", "FullName": "Alexis Ohanian", "Avatar": "https://media.intro.co/avatars/177804F4nhK4N2.jpg", "Username": "", "Title": "Tech Entrepreneur + Investor", "Description": "\ud83d\udc68\u200d\ud83d\udcbb Co-founder of Reddit. First batch of Y Combinator (Summer 2005) and led the company to a sale to Cond\u00e9 Nast in 2006, returned as Exec Chair in 2014 to help lead the turnaround, then left in 2018 to do venture capital fulltime. \ud83e\udd84 I\u2019m an investor in startups \u2014almost always at the earliest possible stage\u2014 first as an angel investor, then co-founder of Initialized, before splitting the firm in half to found Seven Seven Six. First round investments include: Coinbase (NYSE: COIN), Opendoor (NASDAQ: OPEN), Instacart (NYSE: ART), Reddit (NYSE: RDDT), Gusto, Flexport, Ro, Flock Safety, Athelas, Rippling, Patreon, GOAT, Cruise, Feastables, and many more. \ud83d\uddfa\ufe0f Current: Founder of 7\ufe0f\u20e37\ufe0f\u20e36\ufe0f\u20e3, a technology company that deploys venture capital. \ud83d\udcaa Strengths: - Startups - Investing - Company Culture - Early Stage Marketing - Growth Tactics - Operations - Fundraising - Hiring & Managing Looking forward to helping you in your business journey! I love helping entrepreneurs and my proceeds will go to my foundation that you can learn more about at 776.org", "ShortDescription": "Founder of Reddit, Initialized, & 7\ufe0f\u20e37\ufe0f\u20e36\ufe0f\u20e3 (100% to charity\ud83c\udf97)", "Instagram": "AlexisOhanian", "Twitter": "AlexisOhanian", "LinkedIn": "", "YouTube": "", "TikTok": "AlexisOhanian", "AllowRequests": false, "SessionPrice": 2000, "SessionDuration": 15, "ReviewId": 222536, "ReviewerId": 730287, "ReviewerName": "Claude", "Rating": 5, "Review": "Alexis was great .He knew my space and was willing to engage and give immediate practical action items for success.", "UpdatedAt": "2026-01-11T07:32:37.549894Z", "actor_id": "1KaZrhCrrI4Ig1D7k", "run_id": "gLAmVlIEu9fS3yyFz" }, { "Id": 177804, "FirstName": "Alexis", "LastName": "Ohanian", "FullName": "Alexis Ohanian", "Avatar": "https://media.intro.co/avatars/177804F4nhK4N2.jpg", "Username": "", "Title": "Tech Entrepreneur + Investor", "Description": "\ud83d\udc68\u200d\ud83d\udcbb Co-founder of Reddit. First batch of Y Combinator (Summer 2005) and led the company to a sale to Cond\u00e9 Nast in 2006, returned as Exec Chair in 2014 to help lead the turnaround, then left in 2018 to do venture capital fulltime. \ud83e\udd84 I\u2019m an investor in startups \u2014almost always at the earliest possible stage\u2014 first as an angel investor, then co-founder of Initialized, before splitting the firm in half to found Seven Seven Six. First round investments include: Coinbase (NYSE: COIN), Opendoor (NASDAQ: OPEN), Instacart (NYSE: ART), Reddit (NYSE: RDDT), Gusto, Flexport, Ro, Flock Safety, Athelas, Rippling, Patreon, GOAT, Cruise, Feastables, and many more. \ud83d\uddfa\ufe0f Current: Founder of 7\ufe0f\u20e37\ufe0f\u20e36\ufe0f\u20e3, a technology company that deploys venture capital. \ud83d\udcaa Strengths: - Startups - Investing - Company Culture - Early Stage Marketing - Growth Tactics - Operations - Fundraising - Hiring & Managing Looking forward to helping you in your business journey! I love helping entrepreneurs and my proceeds will go to my foundation that you can learn more about at 776.org", "ShortDescription": "Founder of Reddit, Initialized, & 7\ufe0f\u20e37\ufe0f\u20e36\ufe0f\u20e3 (100% to charity\ud83c\udf97)", "Instagram": "AlexisOhanian", "Twitter": "AlexisOhanian", "LinkedIn": "", "YouTube": "", "TikTok": "AlexisOhanian", "AllowRequests": false, "SessionPrice": 2000, "SessionDuration": 15, "ReviewId": 220544, "ReviewerId": 330564, "ReviewerName": "John", "Rating": 5, "Review": "Alexis is fantastic, gave me really great advice! Thanks so much Alexis!", "UpdatedAt": "2025-12-26T21:19:51.086109Z", "actor_id": "1KaZrhCrrI4Ig1D7k", "run_id": "gLAmVlIEu9fS3yyFz" }, { "Id": 177804, "FirstName": "Alexis", "LastName": "Ohanian", "FullName": "Alexis Ohanian", "Avatar": "https://media.intro.co/avatars/177804F4nhK4N2.jpg", "Username": "", "Title": "Tech Entrepreneur + Investor", "Description": "\ud83d\udc68\u200d\ud83d\udcbb Co-founder of Reddit. First batch of Y Combinator (Summer 2005) and led the company to a sale to Cond\u00e9 Nast in 2006, returned as Exec Chair in 2014 to help lead the turnaround, then left in 2018 to do venture capital fulltime. \ud83e\udd84 I\u2019m an investor in startups \u2014almost always at the earliest possible stage\u2014 first as an angel investor, then co-founder of Initialized, before splitting the firm in half to found Seven Seven Six. First round investments include: Coinbase (NYSE: COIN), Opendoor (NASDAQ: OPEN), Instacart (NYSE: ART), Reddit (NYSE: RDDT), Gusto, Flexport, Ro, Flock Safety, Athelas, Rippling, Patreon, GOAT, Cruise, Feastables, and many more. \ud83d\uddfa\ufe0f Current: Founder of 7\ufe0f\u20e37\ufe0f\u20e36\ufe0f\u20e3, a technology company that deploys venture capital. \ud83d\udcaa Strengths: - Startups - Investing - Company Culture - Early Stage Marketing - Growth Tactics - Operations - Fundraising - Hiring & Managing Looking forward to helping you in your business journey! I love helping entrepreneurs and my proceeds will go to my foundation that you can learn more about at 776.org", "ShortDescription": "Founder of Reddit, Initialized, & 7\ufe0f\u20e37\ufe0f\u20e36\ufe0f\u20e3 (100% to charity\ud83c\udf97)", "Instagram": "AlexisOhanian", "Twitter": "AlexisOhanian", "LinkedIn": "", "YouTube": "", "TikTok": "AlexisOhanian", "AllowRequests": false, "SessionPrice": 2000, "SessionDuration": 15, "ReviewId": 218096, "ReviewerId": 1393651, "ReviewerName": "Keri", "Rating": 5, "Review": "Alexis was thoughtful, insightful, and extremely knowledgeable. He asked sharp questions, quickly understood our business, and shared clear, experience-backed perspective. A great example of the value Intro delivers.", "UpdatedAt": "2025-12-14T16:30:37.76132Z", "actor_id": "1KaZrhCrrI4Ig1D7k", "run_id": "gLAmVlIEu9fS3yyFz" } ] ``` ### Use Cases - **Market Research**: Analyze expert profiles to identify trends in industries like tech and entrepreneurship. - **Competitive Intelligence**: Gather data on competitors' advisors and their pricing strategies. - **Price Monitoring**: Track session prices and durations for benchmarking services. - **Content Aggregation**: Collect detailed descriptions and reviews for content creation or databases. - **Academic Research**: Study user feedback and expert backgrounds for sociological or business studies. - **Business Automation**: Automate data collection for CRM systems or lead generation. ### Installation and Usage 1. Search for "Intro Parser Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The output is an array of JSON objects, each representing a review for the specified username. Key fields include: - **Id**: Unique profile identifier. - **FirstName, LastName, FullName**: User's name details. - **Title, Description, ShortDescription**: Professional title and bio. - **Avatar**: Profile image URL. - **Social Media Links**: Handles for Instagram, Twitter, etc. - **Session Details**: Price, duration, and request permissions. - **Review Data**: Review ID, reviewer info, rating, text, and timestamp. - **Metadata**: Actor and run IDs for tracking. Note: Data is extracted as-is from Intro.co; ensure compliance with their terms of service. ### Error Handling The Actor includes built-in error handling for network issues, invalid usernames, or site changes. If a username is not found, it logs a warning and continues. For persistent errors, check the run logs and retry with valid inputs. Rate limiting is managed internally to avoid bans. ### Rate Limiting and Best Practices Intro.co may impose rate limits; the Actor respects delays between requests. Best practices: Limit to 10-20 usernames per run, run during off-peak hours, and avoid overloading the platform. Use proxies if needed for larger scales. ### Limitations - Dependent on Intro.co's site structure; updates may require Actor maintenance. - Only scrapes publicly available data; private profiles are inaccessible. - Reviews are limited to those displayed on the page. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Usernames` (type: `array`): The usernames for the spider. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "Usernames": [ "AlexisOhanian" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/intro-profile-review-parser-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], } } # Run the Actor and wait for it to finish run = client.actor("getdataforme/intro-profile-review-parser-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/intro-profile-review-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/intro-profile-review-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Intro Profile Review Parser Spider", "description": "Intro Parser Spider automates scraping detailed profiles and reviews from Intro.co, extracting expert backgrounds, social links, pricing, and user feedback....", "version": "0.0", "x-build-id": "iQpf6nHgTlfxwRz5t" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~intro-profile-review-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-intro-profile-review-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~intro-profile-review-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-intro-profile-review-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~intro-profile-review-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-intro-profile-review-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "Usernames": { "title": "Usernames", "type": "array", "description": "The usernames for the spider.", "default": [ "AlexisOhanian" ], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```